Inverted Pendulum Posture Control Using Energy Curve Eigenvectors

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Solution Overview

Problem

Conventional technologies face difficulties in controlling a height-variable non-linear inverted pendulum model due to the inability to obtain analytical solutions, necessitating iterative calculations.

Innovation Solution

A posture control method that derives a divergent component from an energy function without iterative calculation by converting a conservation energy function into a curve function and approximating eigenvectors as convergent and divergent components, using a control device to perform feedback control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional iterative calculation methods are used to control a height-variable non-linear inverted pendulum, then control accuracy can be achieved, but computational complexity and calculation time increase significantly

Engineering Contradiction:
Improvecontrol accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The invention transforms the control problem by changing the parameter representation from direct iterative solving to an energy-based parameter transformation. By converting the conservation energy function into a curve function and using eigenvector approximation, the method changes the mathematical parameters from iterative variables to analytically derivable energy parameters, thereby reducing computational complexity while maintaining control accuracy

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention replaces the computational mechanism (iterative calculation system) with a mathematical transformation mechanism (energy function-based analytical solution). Instead of using computational iteration to solve the non-linear pendulum equations, the method substitutes this with an energy conservation approach that provides analytical solutions through curve function conversion and eigenvector approximation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If iterative calculations are performed for stabilization control, then stable control can be achieved, but real-time control performance deteriorates

Engineering Contradiction:
Improvestabilization control stabilityVSAvoidreal-time control performance
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The invention performs preliminary transformation of the control equations into an energy-based framework before actual control execution. By pre-converting the conservation energy function into a curve function and deriving the eigenvector relationships in advance, the method eliminates the need for iterative calculations during real-time control, thereby improving real-time performance while maintaining stabilization reliability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The invention extracts the essential control characteristics from the complex iterative system by isolating the energy conservation principle. By taking out the core energy-based relationship and representing it through curve functions and eigenvectors, the method separates the essential stabilization mechanism from the computationally intensive iterative calculation, enabling faster real-time control

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250291352A1Posture control method, posture control device, and storage medium
Publication Date: 2025.09.18 HONDA MOTOR CO LTD
  • US20250291352A1 patent drawing
  • US20250291352A1 patent drawing
  • US20250291352A1 patent drawing

AI summary

A posture control method is a posture control method of a non-linear inverted pendulum model, of which a height of a center of gravity is variable, and a trajectory of the center of gravity is an energy conserving system, using a control device, the posture control method including: obtaining a conservation energy function on the basis of a measured value of the center of gravity; converting the conservation energy function into a curve function; and calculating a set of eigenvectors through approximation as a convergent component and a divergent component without iterative calculation of a controllable area in a phase plot of the converted curve function and feeding back the convergent component and the divergent component that have been calculated.